Director, Client Services - APAC in Australia and Singapore
StackAdapt, a leading technology company powering programmatic advertising and marketing campaigns, is seeking a senior-level Director, Client Services - APAC for a management role based in either Singapore or Australia. Reporting to the SVP, Global Client Services, this position offers a salary of $182,920 and involves setting the strategic direction for one of the company's fastest-growing regions by leading a high-performing Client Services organization and driving commercial growth, retention, and operational excellence across APAC.
Core Responsibilities
- Lead, coach, and support a team of leaders across diverse markets to deliver exceptional client results and build lasting careers.
- Drive retention and account expansion strategies to secure client value and grow ad spend.
- Partner with regional Sales teams on account planning, renewals, and commercial negotiations to win new business.
- Engage directly with client executives and speak at key industry events to build trusted partnerships and resolve complex regional service challenges.
- Streamline regional workflows, track performance metrics, and collaborate with Legal and Revenue Operations to ensure compliance with regional data privacy regulations.
- Channel local market feedback from APAC into global Product, Marketing, and Sales pipelines to support platform development.
Requirements and Qualifications
- Master's degree required.
- 10+ years of experience in client services, customer success, or account management within adtech, digital media, or programmatic advertising.
- 5+ years of senior leadership experience managing managers across culturally and commercially diverse APAC markets.
- Deep understanding of the programmatic ecosystem, DSP platforms, and the APAC digital advertising landscape across markets such as Singapore, Australia, Japan, Greater China, and Southeast Asia.
- Strong financial and analytical skills for managing regional budgets, tracking operational numbers, and designing scalable service models.